output
20082026
most citedVine disease detection in UAV multispectral images with deep learning segmentation approach

315 citations

Showing 2020Show all

5 papers · 1 filter

stat.ML2020★ 108 cited

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting

Yuan Yin, Vincent Le Guen, Jérémie Dona +4

Forecasting complex dynamical phenomena in settings where only partial knowledge of their dynamics is available is a prevalent problem across various scientific fields. While purel…

eess.IV2020★ 67 cited

VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map

Mohamed Kerkech, Adel Hafiane, Raphael Canals

Early detection of vine disease is important to avoid spread of virus or fungi. Disease propagation can lead to a huge loss of grape production and disastrous economic consequences…

math.ST2020★ 12 cited

An information geometry approach for robustness analysis in uncertainty quantification of computer codes

Clement Gauchy, Jerome Stenger, Roman Sueur +1

Robustness analysis is an emerging field in the domain of uncertainty quantification. It consists of analysing the response of a computer model with uncertain inputs to the perturb…

math.AP2020★ 11 cited

Qualitative indicator functions for imaging crack networks using acoustic waves

Lorenzo Audibert, Lucas Chesnel, Houssem Haddar +1

We consider the problem of imaging a crack network embedded in some homogeneous background from measured multi-static far field data generated by acoustic plane waves. We propose t…

physics.flu-dyn2020★ 7 cited

Transient energy growth in the ageostrophic Eady model

Varvara E. Zemskova, Pierre-Yves Passaggia, Brian L. White

The problem of optimal initial disturbances in thermal wind shear is revisited and extended to include non-hydrostatic effects. This systematic study compares transient and modal g…